What frustrates me is that Anthropic brags they built cowork in 10 days. They don’t show the seriousness or care required for a product that has access to my data.
We build our fine tuning and reinforcement pipeline at cortex.build by synthesizing interactions between a user, the agent loops, and a codebase. The exact data they get from users in Claude Code.
That data is critical to improve tool call use (both in correctness but also to improve when the agent chooses to use that tool). It's also important for the context rewrites Claude does. They rewrite your prompt and continuously manage the back-and-forth with the model. So does Cortex, just more aggressively with a more powerful context graph.
There are lots of companies that do this. Doesn't make it right.
The real "evil" here is that companies like Meta, Google, and now OpenAI sell people a product or service that the customer thinks is the full transaction. I search with Google, they show me ads - that's the transaction. I pay for Chatgpt, it helps me understand XYZ - that's the transaction.
But it isn't. You give them your data and they sell it - that's the transaction. And that obscurity is not ethical in my opinion.
> You give them your data and they sell it - that's the transaction
I think that's the wrong framing. Let's get real: They're pimping you out. Google and Meta are population-scale fully-automated digital pimping operations.
They're putting everyone's ass on the RTB street and in return you get this nice handbag--err, email account/YouTube video/Insta feed. They use their bitches' data to run an extremely sophisticated matchmaking service, ensuring the advertiser Johns always get to (mind)fuck the bitches they think are the hottest.
What's even more concerning about OpenAI in particular is they're poised to be the biggest, baddest, most exploitative pimp in world history. Instead of merely making their hoes turn tricks to get access to software and information, they'll charge a premium to Johns to exert an influence on the bitches and groom them to believe whatever the richest John wants.
Goodbye democracy, hello pimp-ocracy. RTB pimping is already a critical national security threat. Now AI grooming is a looming self-governance catastrophe.
And it's not only your data, that makes it much worse.
"You are the product" is a good catchphrase to make people understand. But actually when you search or interact with LLMs, you provide not only primary data about yourself but also about other people by searching for them in connection with specific search terms, by using these services from your friend's house which connects you to their IP-Address, by uploading photos of other people etc.
"You are the product and you come with batteries (your friends)."
No, but if I hear you telling someone you have the flu and are picking up flu medicine after work then I have a portion of your medical records. Why is it hard for people on HN to believe that normal people do not protect their medical data and email about it or search Google for their conditions? People in the "real world" hook up smart TV's to the internet and don't realize they are being tracked. They use cars with smart features that let them be tracked. They have apps on their phone that track their sentiments, purchases, and health issues... All we are seeing here is people getting access to smart technology for their health issues in such a manner that they might lower their healthcare costs. If you are an American you can appreciate ANY effort in that direction.
Depends on your goals. If you are starting a business and you see a company surpass the market cap of Apple, again, then you might view their business model as successful. If you are a privacy advocate then you will hate their model.
Well you said "is this any _worse_" (emphasis mine) and I could only assume you meant ethically worse. At which point the answer is kind of obvious because Google hasn't proven to be the most ethical company w.r.t. user data (and lots of other things).
Op mentions in the follow up comments that he does a separate git checkout, one for each of the 5 Claude Code agents he runs. So each is independent and when PRs get submitted that's where the merging happens.
Feel this so hard. The opposite is also true where you have a micro-service architecture and cursor faceplants in workspaces with multiple repos. We ended up building cortex.build partly because of this exact pain. Our context engine builds a git-aware dependency/provenance graph so it can stay local and only pull the relevant slice across a massive repo or dozens of smaller ones.
Context / understanding of your codebase is the most important part of AI coding. The current AI tools like claude code and cursor aren't super great at this on their own. They want you to use a plan mode to build up a clear plan of what files to touch and what needs done.
I like Augment Code for it's context engine - it is a lot better at finding where in the codebase changes need to be made without the planning.
It's the central thesis to what we're doing at Cortex.build - our local model can compete with large SOTA models because of how much work we do on mapping the codebase and creating just in time context for our LLM to make small and precise changes.
I can’t help but notice the items of increasing price / cost are not optional / discretionary purchases. Price can increase and not affect demand. Whereas the items decreasing in price are all subject intense competition and price sensitivity.
That's not how it works: Most things that people call non-discretionary still have opportunities for market effects. Take food: You might have spikes for, say, beef, but what is necessary is just enough calories, not necessarily having them come from beef. Therefore, you can switch preferences, eat something else, and not be affected by the price increases. Poeple rarely do though, because the amount of money spent on food is significantly lower than historical, precisely due to agricultural productivity improvements. In the US, we also have to consider the effects of recent tariffs: When supply gets far more expensive, prices go up in a market, regardless of whether people must eat or not.
For housing, there's also significant location effects: One doesn't have to live in, say, Manhattan. People trade time for location, and then select the space they want. A whole lot of the space Americans use is completely optional. Go look at cities in Asia, or in Spain: You can have a city with an average density similar to NYC's Upper East side, but not even NYC comes close. That's not about a limitation of supply, but very specific policy choices.
It's similar in other mandatory things: In healthcare, the amount of things that are actually mandatory isn't that large, training to become a doctor is offered to far fewer people that would want the job, drugs can be handed long monopolies... It's not about non-discretionary, but mostly a regulatory problem. Same with American colleges, which waste an order of magnitude more money in what is shaped like an old luxury good. Anyone that has gone to a public university in continental Europe and to a US college can tell you it's a completely different good, and the American approach isn't all that focused on efficient education, as it's still shaped like a finishing school. And again, it's not necessary.
So I'd argue it's almost always regulation written to help certain incumbents, instead of inability of market forces to keep prices low even when it appears that a good is non-discretionary.
Yeah you’re right, that’s fair. I just think people don’t behave that rationally. I’m not moving away from my kid’s grandparents because my local costs have gone up, for example.
There exists greater friction with many of the items in red than the highly automated ones.
My question is how linked is this friction to the lack of automation?
With text books and meat packing there are few players due to consolidation. This means they can avoid investing in automation and keep prices high because they face less resistance from consumers and virtually none from competitors.
In short I’m asking if market forces are to blame for lower automation. And therefore automation is not the root cause of price increases.
At some price level you would move. Of course there are probably many more people that would move before you so that situation may not arise in practice. Economics works on the margin.
Sure but there’s a significant change in price that I can withstand before moving. My point is there’s less price sensitivity for some of these items. And because of that I wonder if that affects the amount of automation suppliers invest in.
I'd tend to disagree on the point around housing. I'd be surprised if there isnt a non-insignificant # of households who would happily move to lower cost of living areas (rent/house price wise) or areas with more nature perhaps but that is simply not feasible because there is no work there or the fields they work in are tethered to a particular city or cities in general. That severely limits their concept of choice in the matter.
College is optional. Actually, if you're just looking for "a skilled job" trade school is a better bet than college now. But the only people actually saying that are conservative nut-jobs trying to fight a culture war against a balanced education. People send their kids to colleges for the same reason why they demand more car lanes instead of better buses and trains: it's a status symbol.
The thing about status symbols is that you are buying them to feel better than someone else. So they almost have to be scarce - and therefore expensive. That's the basic idea behind cost disease; scarce things in an economy of abundance become more expensive, not less.
Perhaps it is optional for some. The point isn’t if it’s technically required. It’s that these items have less price sensitivity, which could be a greater factor in what industries invest in automation.
> Actually, if you're just looking for "a skilled job" trade school is a better bet than college now.
Better for whom? And better in what sense?
Long-term, on average, post-college careers still blow the trades out of the water in earnings.
In my case certainly, if I had bought into the “trades are better!!” online rhetoric I would be making far less money than I am now, and I get to work remote.
> Long-term, on average, post-college careers still blow the trades out of the water in earnings.
That average has a lot of outliers. There are a handful of degrees which almost guarantee you gainful employment. Like, someone getting a law degree or prepping for hospital residency will make waaay more money than maths, liberal arts, or anything on PhD track. The latter do not have anywhere close to the same job prospects.
Furthermore, some degrees are extremely expensive to get. My guess is you got an engineering or CS degree, which in terms of "degrees with job prospects" are still reasonably priced. You can graduate and go into the work force with little debt (or at least, I did, YMMV). Less so for the lawyers and doctors pushing up the college average, who have to go to more expensive schools and even more expensive post-graduate programs. They rack up lots of student debt in the process. Even if it gives you a higher salary, you might not be comfortable with a decade and change of debt slavery.
Law in the US is actually not that great an overall profession in terms of compensation if you're not talking top schools, white shoe firms, and a prestigious clerkship.
Just like with tool calling, I find models that are post-trained to work with a context system use it more reliably. I don't think bolting on a context system is ever going to work as well.
reply